view toolOptBioDes.py @ 4:6dbb43bdf2f4 draft

planemo upload commit 6a252d04f4b2f79606ab6679b6a91f957e33da7b-dirty
author pablocarb
date Thu, 02 May 2019 07:46:26 -0400
parents f3771c0a2327
children 93eb36300900
line wrap: on
line source

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mar 19

@author: Pablo Carbonell
@description: Query OptBioDes: optimal synbio design.

"""
import requests
import argparse
import csv
import os
import json

def arguments():
    parser = argparse.ArgumentParser(description='toolOptBioDes: Optimal SynBio Design. Pablo Carbonell, SYNBIOCHEM, 2019')
    parser.add_argument('infile', 
                        help='Input xlsx file (DoE specificiations).')
    parser.add_argument('size', 
                        help='Library size.')
    parser.add_argument('outfile', 
                        help='Output csv design file.')
    parser.add_argument('diagfile', 
                        help='Output csv diagnostics file.')
    parser.add_argument('-server', default='http://doe.synbiochem.co.uk/REST',
                        help='OptBioDes server.')
    return parser

def testApp(url):
    r = requests.get( url )
    res = json.loads( r.content.decode('utf-8') )
    print( res )
    
def sheetUpload(doefile, size, outfile, diagfile, url):
    files = { 'file': open(doefile, 'rb' ) }
    values = {'size': int(size)}
    r = requests.post( os.path.join(url, 'Query' ), files=files, data=values )
    res = json.loads( r.content.decode('utf-8') )
    M = res['data']['M']
    with open(outfile, 'w') as h:
        cw = csv.writer(h)      
        cw.writerow( res['data']['names'] )
        for row in M:
            cw.writerow( row )
    print( 'Size:', res['data']['libsize'], 'Efficiency:', res['data']['J'] )



if __name__ == "__main__":
    parser = arguments()
    arg = parser.parse_args()
    assert os.path.exists(arg.infile)
    sheetUpload( arg.infile, arg.outfile, arg.diagfile, arg.server )